INTELIGENCIA ARTIFICIAL
Fachbereich
José Manuel
Benítez Sánchez
Publikationen, an denen er mitarbeitet José Manuel Benítez Sánchez (16)
2013
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The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting
Intelligent Systems Reference Library, Vol. 47, pp. 1-30
2012
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Financial time series forecasting with a bio-inspired fuzzy model
Expert Systems with Applications, Vol. 39, Núm. 16, pp. 12302-12309
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Time series modeling and forecasting using memetic algorithms for regime-switching models
IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, Núm. 11, pp. 1841-1847
2011
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A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters
Applied Intelligence
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Empirical study of feature selection methods based on individual feature evaluation for classification problems
Expert Systems with Applications, Vol. 38, Núm. 7, pp. 8170-8177
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Fuzzy autoregressive rules: Towards linguistic time series modeling
Econometric Reviews, Vol. 30, Núm. 6, pp. 646-668
2010
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Equivalences between neural-autoregressive time series models and fuzzy systems
IEEE Transactions on Neural Networks, Vol. 21, Núm. 9, pp. 1434-1444
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Linearity testing for fuzzy rule-based models
Fuzzy Sets and Systems, Vol. 161, Núm. 13, pp. 1836-1851
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Testing for heteroskedasticity of the residuals in fuzzy rule-based models
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Testing for remaining autocorrelation of the residuals in the framework of fuzzy rule-based time series modelling
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
2009
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Empirical study of individual feature evaluators and cutting criteria for feature selection in classification
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
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Testing for serial independence of the residuals in the framework of fuzzy rule-based time series modeling
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
2007
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Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Expert Systems with Applications, Vol. 32, Núm. 4, pp. 1218-1225
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Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences
Fuzzy Sets and Systems, Vol. 158, Núm. 24, pp. 2734-2745
2006
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On the identifiability of TSK additive fuzzy rule-based models
Advances in Soft Computing, Vol. 37, pp. 79-86
2005
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Neuro-fuzzy prediction of airborne pollen concentrations
Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference